Evidence map›Paper›PMID 40099925›Full record

ReviewInternational journal of radiation biology2025

Potential biomarkers of chronic low-dose radiation exposure for nuclear medicine technologists.

Irene Mbutu-Austin, Bijan Modarai, Elizabeth Ainsbury, Samantha Y A Terry

Abstract readReview
In one paragraph

Review in International journal of radiation biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Irene Mbutu-AustinSchool of Biomedical Engineering and Imaging Sciences, King's College, London, UK.ORCID 0000-0002-7670-1888
Bijan ModaraiNIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, King's College London, London, UK.ORCID 0000-0003-4460-5768
Elizabeth AinsburyNIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, King's College London, London, UK.
Samantha Y A TerrySchool of Biomedical Engineering and Imaging Sciences, King's College, London, UK.ORCID 0000-0002-6497-6681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNuclear medicine is the fastest growing segment in imaging due to an increase in demand for procedures, development of advanced scanners and new radioactive tracers. Technologists are exposed to radiation throughout the workday. Key protection approaches are time, distance, and shielding; these can be difficult to achieve since patients are usually the main source of radiation and close contact is required. Technologists in general nuclear medicine receive annual effective doses of approximately 0.1 mSv. Doses in positron emission tomography (PET) imaging can be close to 6 mSv. Without appropriate radiation protection measures, finger doses from handling PET radiopharmaceuticals can exceed the annual dose limit of 500 mSv. Estimates of health risks from low dose-rate exposures are extrapolated from risk coefficients calculated from Japanese atomic bomb survivors. Effects of chronic exposure are obtained from nuclear workers and radiotherapy patients. This review aims to consolidate existing research in biomarkers of low dose radiation exposure to determine whether they may form a part in occupational health monitoring.

conclusionsThe link between chronic low-dose exposure in nuclear medicine technologists and health risks using radiation-related biomarkers as a proxy remains relatively unexplored. Further work is needed to identify and characterize biomarkers in technologists.

Indexed as

BiomarkersNuclear MedicineOccupational ExposureRadiation DosageRadiation ExposureHumansBiomarkersbiomarkersbiomonitoringgenotoxicionizing radiationlow dose exposureNuclear medicine

Identifiers

PMID40099925
PMCPMC12036530

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.